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Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

3 January 2020
Jianghao Shen
Y. Fu
Yue Wang
Pengfei Xu
Zhangyang Wang
Yingyan Lin
    MQ
ArXivPDFHTML

Papers citing "Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference"

12 / 12 papers shown
Title
I3D: Transformer architectures with input-dependent dynamic depth for
  speech recognition
I3D: Transformer architectures with input-dependent dynamic depth for speech recognition
Yifan Peng
Jaesong Lee
Shinji Watanabe
24
19
0
14 Mar 2023
Towards Inference Efficient Deep Ensemble Learning
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
21
12
0
29 Jan 2023
Pruning Early Exit Networks
Pruning Early Exit Networks
Alperen Görmez
Erdem Koyuncu
18
5
0
08 Jul 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
28
18
0
02 Jun 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
A Closer Look at Branch Classifiers of Multi-exit Architectures
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
12
4
0
28 Apr 2022
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for
  Zero-Shot Network Quantization
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Yunshan Zhong
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
40
71
0
17 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient
  Federated Learning
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig
Yiren Zhao
Robert D. Mullins
FedML
104
53
0
31 Oct 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch
  Normalization
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Tianlong Chen
Zhenyu (Allen) Zhang
Xu Ouyang
Zechun Liu
Zhiqiang Shen
Zhangyang Wang
MQ
33
36
0
16 Apr 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Katie Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
36
105
0
19 Mar 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Y. Fu
Haoran You
Yang Katie Zhao
Yue Wang
Chaojian Li
K. Gopalakrishnan
Zhangyang Wang
Yingyan Lin
MQ
30
32
0
24 Dec 2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN
  Accelerators with Various Dataflows and Hardware Architectures
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
Yang Katie Zhao
Chaojian Li
Yue Wang
Pengfei Xu
Yongan Zhang
Yingyan Lin
9
41
0
26 Feb 2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs
  and ASICs
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Pengfei Xu
Xiaofan Zhang
Cong Hao
Yang Katie Zhao
Yongan Zhang
Yue Wang
Chaojian Li
Zetong Guan
Deming Chen
Yingyan Lin
23
88
0
06 Jan 2020
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